Part of speech tagging: a systematic review of deep learning and machine learning approaches
A Chiche, B Yitagesu - Journal of Big Data, 2022 - Springer
Natural language processing (NLP) tools have sparked a great deal of interest due to rapid
improvements in information and communications technologies. As a result, many different …
improvements in information and communications technologies. As a result, many different …
[HTML][HTML] Sentiment Analysis on E-Commerce Product Reviews Using Machine Learning and Deep Learning Algorithms: A Bibliometric Analysisand Systematic …
A Daza, NDG Rueda, MSA Sánchez… - International Journal of …, 2024 - Elsevier
The success of every company is based on the service provided to customers, so it is
essential to know the perception of buyers in relation to specific products, this allows the …
essential to know the perception of buyers in relation to specific products, this allows the …
Understanding public opinions on social media for financial sentiment analysis using AI-based techniques
The digital currency has taken the financial markets by storm ever since its inception.
Academia and industry are focussing on Artificial intelligence (AI) tools and techniques to …
Academia and industry are focussing on Artificial intelligence (AI) tools and techniques to …
BERT-deep CNN: State of the art for sentiment analysis of COVID-19 tweets
The COVID-19 pandemic has led to the emergence of social media platforms as crucial
channels for the dissemination of information and public opinion. Comprehending the …
channels for the dissemination of information and public opinion. Comprehending the …
Long short term memory (LSTM) model for sentiment analysis in social data for e-commerce products reviews in Hindi languages
Sentiment analysis has become an important tool for e-commerce giant to capture user
sentiment towards their product and to exploit such analysis to attract user for buying …
sentiment towards their product and to exploit such analysis to attract user for buying …
A hybrid transformer and attention based recurrent neural network for robust and interpretable sentiment analysis of tweets
Sentiment analysis is a pivotal tool in understanding public opinion, consumer behavior, and
social trends, underpinning applications ranging from market research to political analysis …
social trends, underpinning applications ranging from market research to political analysis …
Ensemble hybrid model for Hindi COVID-19 text classification with metaheuristic optimization algorithm
V Jain, KL Kashyap - Multimedia Tools and Applications, 2023 - Springer
A SARS-CoV-2 virus has spread around the globe since March 2020. Millions of people
infected worldwide with coronavirus. People from every country expressed their sentiments …
infected worldwide with coronavirus. People from every country expressed their sentiments …
A Transformer Based Approach for Abuse Detection in Code Mixed Indic Languages.
The advancement in the number of online social media platforms has entailed active
participation from the web users globally. This has also lead to subsequent increase in the …
participation from the web users globally. This has also lead to subsequent increase in the …
Enhancing sentiment analysis in Hindi for E-commerce companies: a CNN-LSTM approach with CBoW and TF-IDF word embedding models
Sentiment analysis holds significant value for e-commerce companies, enabling them to
gain insights from customer sentiment. By evaluating customer feedback, businesses can …
gain insights from customer sentiment. By evaluating customer feedback, businesses can …
[PDF][PDF] Aspect-Based Sentiment Analysis using Machine Learning and Deep Learning Approaches
Sentiment analysis (SA) is also known as opinion mining, it is the process of gathering and
analyzing people's opinions about a particular service, good, or company on websites like …
analyzing people's opinions about a particular service, good, or company on websites like …